“Transparency in data and analytics is key; it builds user confidence. If something happens, be transparent about what happened and what was accessed, and what users can do to prevent anything further from happening.”
“Transparency in data and analytics is key; it builds user confidence. If something happens, be transparent about what happened and what was accessed, and what users can do to prevent anything further from happening.”
Listening to the voices of the people that the data actually impacts is vital to its success. Having the data is important, but it’s ineffective if we don’t know what to do with it. It’s time to do better.
“With access to patient data, predictive analytics in healthcare finds patterns amongst diverse patients for efficient treatment plans that can predict better recovery results.“
